SeniorAI/MLEngineer

Role Overview The Senior AI/ML Engineer is responsible for designing, building, and deploying Natera’s Generative AI and Machine Learning platforms. The role needs excellent hands-on engineering excellence to build robust, compliant, and efficient Generative AI and ML platform components. This role requires deep expertise in Generative AI and machine learning engineering at scale, with a passion for building robust, compliant, and high-performance systems that directly impact patient outcomes and clinical innovation. You will design, build, and scale enterprise-grade AI/ML systems that power internal workflows (R drift and regression detection Technical Leadership & Mentorship Establish golden paths (templates, examples, docs) and lead platform architecture reviews, code reviews, and design discussions Partner with data scientists, AI researchers, and product engineers to deliver reliable and maintainable AI services Mentor junior engineers in platform development, distributed systems, and agentic AI infrastructure concepts Influence cross-functional roadmaps by partnering with Product and Engineering leadership to align delivery with business needs Qualifications Required: 8+ years in software/ML engineering, with 5+ years in ML engineering at scale Expertise in building production-grade ML/LLM systems on AWS tech stack (Python, TensorFlow/PyTorch, Spark, MLflow/Kubeflow, vector DBs) Proven track record with GenAI/LLMs: fine-tuning, RAG, prompt orchestration, agentic systems, safety guardrails, monitoring, and cost optimization Hands-on with RAG systems (embeddings, vector DBs, retrieval policies) and LLM runtime operations (caching, quotas, multi-model routing) Experience building agentic AI platforms (LangChain, LlamaIndex, CrewAI, Semantic Kernel, or custom) Deep knowledge of data-intensive systems, distributed architectures, and cloud-native development Strong grounding in compliance-first engineering in healthcare, biotech, or diagnostics preferred Track recor